End of training

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-large-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: cfd_model2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# cfd_model2
+
+This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0066
+- Precision: 0.9978
+- Recall: 0.9987
+- F1: 0.9982
+- Accuracy: 0.9986
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0493        | 0.19  | 100  | 0.0352          | 0.9890    | 0.9930 | 0.9910 | 0.9937   |
+| 0.0103        | 0.39  | 200  | 0.0273          | 0.9886    | 0.9956 | 0.9921 | 0.9946   |
+| 0.0011        | 0.58  | 300  | 0.0190          | 0.9921    | 0.9978 | 0.9950 | 0.9960   |
+| 0.0247        | 0.77  | 400  | 0.0167          | 0.9978    | 0.9943 | 0.9960 | 0.9968   |
+| 0.0003        | 0.97  | 500  | 0.0269          | 0.9926    | 0.9978 | 0.9952 | 0.9961   |
+| 0.0036        | 1.16  | 600  | 0.0133          | 0.9960    | 0.9960 | 0.9960 | 0.9968   |
+| 0.0008        | 1.35  | 700  | 0.0222          | 0.9926    | 0.9987 | 0.9956 | 0.9965   |
+| 0.0003        | 1.55  | 800  | 0.0287          | 0.9895    | 0.9974 | 0.9934 | 0.9953   |
+| 0.0005        | 1.74  | 900  | 0.0132          | 0.9934    | 0.9982 | 0.9958 | 0.9970   |
+| 0.0024        | 1.93  | 1000 | 0.0123          | 0.9952    | 0.9982 | 0.9967 | 0.9977   |
+| 0.0007        | 2.13  | 1100 | 0.0099          | 0.9969    | 0.9943 | 0.9956 | 0.9965   |
+| 0.0005        | 2.32  | 1200 | 0.0087          | 0.9978    | 0.9965 | 0.9971 | 0.9977   |
+| 0.001         | 2.51  | 1300 | 0.0055          | 0.9974    | 0.9991 | 0.9982 | 0.9986   |
+| 0.0002        | 2.71  | 1400 | 0.0049          | 0.9974    | 0.9982 | 0.9978 | 0.9986   |
+| 0.0004        | 2.9   | 1500 | 0.0065          | 0.9969    | 0.9982 | 0.9976 | 0.9984   |
+| 0.0002        | 3.09  | 1600 | 0.0071          | 0.9969    | 0.9978 | 0.9974 | 0.9982   |
+| 0.0001        | 3.29  | 1700 | 0.0077          | 0.9974    | 0.9978 | 0.9976 | 0.9984   |
+| 0.0002        | 3.48  | 1800 | 0.0072          | 0.9974    | 0.9978 | 0.9976 | 0.9984   |
+| 0.0005        | 3.68  | 1900 | 0.0072          | 0.9974    | 0.9978 | 0.9976 | 0.9984   |
+| 0.0207        | 3.87  | 2000 | 0.0066          | 0.9978    | 0.9987 | 0.9982 | 0.9986   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "google-bert/bert-large-uncased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "O",
+    "1": "TRADE_NUMBER",
+    "2": "SYMBOL",
+    "3": "DIRECTION",
+    "4": "ENTRY",
+    "5": "SL",
+    "6": "TP"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "DIRECTION": 3,
+    "ENTRY": 4,
+    "O": 0,
+    "SL": 5,
+    "SYMBOL": 2,
+    "TP": 6,
+    "TRADE_NUMBER": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 1336444668

sentencepiece.bpe.model

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+oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
+size 5069051

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:1359af17117a10d085f056d5e2252f0d5b51739a7d67f4a832fbf84022e557ab
+size 4728